Level Of Economic Development Research Articles

Study on the Railway Effect of the Coordinated Development of the Economy and Environment in the Chengdu–Chongqing Economic Circle

Transportation infrastructure plays a crucial role in economic development and significantly influences climate change, providing direct and indirect benefits towards the attainment of Goals 8 and 13 of the United Nations Sustainable Development Goals (SDGs). This study investigates the impact of railway infrastructure on the level of economic and environmental coordination development in the Chengdu–Chongqing economic circle, using panel data from 16 cities spanning from 2010 to 2020. The analysis employs a coupled coordination degree model and a panel fixed effects model. The findings reveal a gradual increase in the level of economic and environmental coordination development in each city during the study period. Notably, Chongqing and Chengdu exhibit significantly higher levels compared to other cities. Railway infrastructure construction can significantly promote the coordinated development of the urban economy and environment. In areas with a high level of coordinated development of the economy and environment, the promoting effect is relatively small, while in areas with a low level of coordinated development of the economy and environment, the promoting effect is relatively large. Over the long term, railways continue to significantly promote the coordinated development of the urban economy and environment. The construction of railways can stimulate the development of the urban private economy and marketization, thereby facilitating the coordinated development of the urban economy and environment.

Measurement and Influencing Factors of Regional Economic Resilience in China

The COVID-19 outbreak in 2020 has underscored the paramount importance of regional economies’ capacities to withstand and adapt to external shocks. Enhancing regional economic resilience and mitigating the adverse impacts on both the economy and society have emerged as critical imperatives for ensuring the sustainable development and transformation of the national economy. This paper employs an improved counterfactual method to measure the economic resilience index across 31 Chinese provinces and cities from 2001 to 2021, coupled with empirical analysis using a dynamic panel model to identify the influencing factors of regional economic resilience. Building upon this foundation, the study delves into the heterogeneous effects of various factors and different degrees of marketization on economic resilience across different regions. Research Findings: (1) There has been a significant improvement in the economic resilience levels of China’s 31 provinces, with differences in economic resilience between regions far exceeding those in economic development levels, indicating substantial internal regional disparities. (2) Factors such as the marketization index, industrial structure, level of informatization, labor force size, labor quality, innovation capacity, and degree of government intervention all impact regional economic resilience and exhibit regional heterogeneity. Policy Recommendations: (1) It is crucial to address regional disparities while formulating regional development strategies and enhancing regional economic resilience. (2) Regions should accelerate market-oriented reforms, promote rational labor mobility, strengthen investment in human capital, foster innovation, and adjust the degree of intervention.

Status quo and influencing factors of multiprofessional and multidisciplinary teamwork for early mobilization inmechanically ventilated patients in ICUs: A multi-centre survey study.

To understand the status quo of multiprofessional and multidisciplinary collaboration for early mobilization of mechanically ventilated patients in Chinese ICUs and identify any factors that may influence this practice. A multi-centre cross-sectional survey. From October to November 2022, the convenience sampling method was used to select ICU multiprofessional and multidisciplinary early mobility members (including physicians, nurses and physiotherapists) from 27 tertiary general hospitals in 14 provinces, cities and autonomous regions of China. They were asked to complete an author-developed questionnaire on the status of collaboration and the Assessment of Inter-professional Team Collaboration Scale. A multiple linear regression model was used to analyse the factors associated with the level of collaboration. Physicians, nurses and physiotherapists mostly suffered from the lack of normative protocols, unclear division of responsibilities and unclear multiprofessional and multidisciplinary teams when using a collaborative approach to early activities. Multiple linear regression analysis showed that the number of ICU patients managed, the existence of norms and processes, the attitude of colleagues around them, the establishment of a team, communication methods and activity leaders were significant influences on the level of collaboration among members of the multiprofessional and multidisciplinary early activities. The collaboration of multiprofessional and multidisciplinary early activity members for mechanically ventilated patients in the ICU remains unclear, and the collaboration strategy needs to be constructed and improved, taking into account China's human resources and each region's economic development level. This study investigates the collaboration status of multiprofessional and multidisciplinary activity members from the perspective of teamwork, analyses the reasons affecting the level of collaboration and helps to develop better teamwork strategies to facilitate the implementation of early activities. The participants in this study were multiprofessional and multidisciplinary medical staff who performed early activities for ICU patients.

Changes in Economic Network Patterns and Influencing Factors in the Urban Agglomeration of Guangdong–Hong Kong–Macao Greater Bay Area: A Comprehensive Study

The aim of this study is to comprehensively evaluate the economic network patterns and their influencing factors of the Guangdong–Hong Kong–Macao Greater Bay Area (GHMGBA) in China, considering population scale, economic development level, and land-resource endowment. By employing a modified gravity model and a social-network method, we quantitatively analyzed urban agglomeration integrity indices, such as network density, edge–core structure, cohesive-subgroup index, and urban individual index (e.g., centrality degree) of this region, encompassing nine cities in Guangdong Province and two special administrative regions. The results revealed significant changes in the economic network patterns within the GHMGBA over time. Furthermore, the quadratic assignment procedure correlation analysis index was used to identify the various factors affecting the strength of the economic interaction. The findings demonstrated an annual increase in the strength of economic interaction between cities and regions within the GHMGBA over the past 20 years, along with the emergence of a polycentric economic development pattern. The results also suggest that the spatial location and level of economic development are key determinants influencing the strength of economic linkages in this area. This study supports the conclusion that deepening exchanges and cooperation among core cities, bolstering economic development in sub-core cities, and facilitating the construction of an integrated regional transportation network will expedite the process of economic integration.

Research on Energy Conservation and Emission-Reduction Effects of Green Finance: Evidence from China

The energy-saving and low-carbon development model is one of the important symbols of high-quality economic development. This article attempts to study the environmental effects of green finance from both theoretical and empirical perspectives, that is, to test whether green finance policies contribute to achieving energy conservation and emission reduction. This article is based on provincial panel data from 2007 to 2020 in China and constructs a dynamic spatial Durbin model to examine the impact of green finance on environmental pollution and energy intensity. The results indicate that (1) green finance can achieve a dual effect of energy conservation and emission reduction simultaneously and has a significant promoting effect on energy conservation and emission reduction in neighboring regions. This conclusion is still valid after conducting robustness tests. (2) The energy-saving and emission-reduction effects of green finance exhibit significant regional heterogeneity, indicating that the performance of green finance is more outstanding in the eastern region with a higher level of economic development. (3) Mechanism testing has found that green finance can achieve energy-saving and emission-reduction effects through four channels: environmental regulation, credit allocation, enterprise profits, and enterprise innovation. Therefore, in order to further promote high-quality economic development, we need to build a comprehensive and multi-level green finance system, enrich the green finance policy toolbox, and smooth the transmission channels of green finance to promote green and stable economic development.

Rural Industrial Integration and New Urbanization in China: Coupling Coordination, Spatial–Temporal Differentiation, and Driving Factors

Understanding the coupling coordination status between rural industrial integration (RII) and new urbanization (NU) is critical for the Chinese government to optimize policies that promote the synergetic and sustainable development of RII and NU. Based on constructing evaluation index systems, this paper uses the entropy value method, coupling coordination degree model, exploratory spatial analysis method, gravity center model, and geographical detector model to reveal the characteristics of the spatial–temporal differentiation of the coupling coordination and its driving factors in China. The results show that: (1) The regional differences in the coupling coordination degree between RII and NU are obvious, and the coupling coordination degree of China’s three economic regions are all in an increasing trend, but the mean values in the central and western regions are always below the national average. (2) The coupling coordination degree has significant spatial agglomeration characteristics, but the regional differences are gradually decreasing. The whole country is still dominated by the low–low agglomeration, and the provinces with the high–high agglomeration are mainly located in the eastern region. (3) The gravity center of the coupling coordination degree has moved in both the east–west and north–south directions from 2011 to 2021, but the movement trend in the north–south direction is more obvious. (4) The economic development level, industrial structure, transportation conditions, government support capacity, financial support level, and agricultural mechanization level are important factors driving the spatial–temporal variation, and their interactions will enhance the differentiation. The results can provide a theoretical basis and decision-making reference for relevant government departments in China to promote the sustainable development of RII and NU.

Brain drain in pediatric anesthesiology: The geographic and demographic distribution of national origin among pediatric anesthesiologists in the United States.

American pediatric anesthesiologists have a long history of international volunteerism. However, the US healthcare system also benefits from the contributions of a large number of physicians who come from other nations to work within its borders. Despite this fact, little is known about the contribution of international medical graduates (IMG) to the pediatric anesthesiology subspecialty. To characterize the contribution of IMG to the field of pediatric anesthesiology in the United States, and to elucidate the geographic and demographic distribution of their national origins so as to understand the movement of skilled personnel between countries. Online physician directories of American children's hospitals were searched, and anesthesiologists were recorded for their national origin of medical education. International graduates were reported as a percentage of the pediatric anesthesiology workforce. Those attending medical colleges catering to American students ("offshore" medical schools) were analyzed separately from other IMGs. The cohort of non-offshore IMGs were analyzed for national and continental origins, and by national level of economic development. Of 1979 anesthesiologists analyzed, 397 attended medical school outside the United States, with 58 being from offshore schools. The remaining 338 represented 17.1% of the total pediatric anesthesiology workforce. They came from 58 countries on six continents. Of those, 65.1% attended medical school in low- and middle-income countries. International medical graduates, disproportionately from low- and middle-income countries, compose a large proportion of the US Pediatric Anesthesiology workforce. While these clinicians play a vital role in providing care for American children, the potential impacts of skilled physician loss on their nations of origin must also be considered.

Fiscal decentralisation and the attenuating effects of inter‐governmental transfers and economic development on corruption in China

AbstractThe consensus in the literature is that fiscal decentralisation is a means to reduce corruption. For China, the attenuating effects of fiscal decentralisation are often enhanced by other factors. This paper argues that prior findings serve to facilitate the design of anti‐corruption measures but they do not address why individuals may engage in corruption. This is especially as individual evidence suggests that engaging in corruption is against professional ethos in China. This paper suggests that intergovernmental transfers and the relative level of economic development of where a public servant is serving influence the decision of whether to engage in corruption. Specifically, intergovernmental transfers and a higher level of local economic development directly affect the resources that a local administration has. In turn, this affects the extent to which one may realise their motivations for a career in the public sector. Empirical estimates for 1998–2013 serve to support the hypothesis.Points for practitioners Fiscal decentralisation mitigates the prevalence of corruption in China in conjunction with other complimentary factors. But engaging in corruption is inconsistent with motivations for a public sector career which include engaging in work for society's greater benefit. Corruption may emerge because public servants feel that they may be unable to achieve their aims for joining the public sector because of local resource constraints. Empirical findings suggest that increased resources to local administrations from intergovernmental transfers and economic development may discourage public servants from deviating from their stated career motivations, that is, engaging in corruption.

What influences the performance of carbon emissions in China?-Research on the inter-provincial carbon emissions' conditional configuration impacts.

The severe global warming issue currently threatens humans' existence and development. Countries and international organizations have effectively implemented policies to reduce carbon emissions and investigate low-carbon growth strategies. Reducing carbon emissions is a hot topic that academics and government policy-making departments are concerned about.Through necessary condition analysis (NCA) and fuzzy set qualitative comparative analysis(fsQCA), this paper investigates local governments' configuration linkage effect and path choice to improve carbon emission performance from six dimensions: energy consumption, industrial structure, technological innovation, government support, economic development, and demographic factors. The research findings include the following: (1) Individual condition does not represent necessary conditions for the government's carbon performance. Among the two sets of second-order equivalence configurations(S and Q) (five high-level carbon performance configurations), those dominated by economic development or low energy consumption can produce high-level carbon performance. Therefore, the six antecedent conditions dimensions work together to explain how the government can create high levels of carbon performance. (2)According to the regional comparison, China's eastern, central, and western regions exhibit similarities and differences in the driving forces behind high carbon emission performance. All three regions can demonstrate carbon emission performance when all the factors are combined. However, when constrained by the conditions of each region's resource endowment, the eastern region emphasizes the advantage of economic and technological innovation, the central region favors government support and demographic factors, and the western region prefers upgrading industrial structure based on a specific level of economic development.

Evolution of urban land and population system coupling micro–dynamics and macro-stability: Trends and paths

Cities are constantly dynamics, but emerge the stability of urban systems as evidenced by robust urban scaling. Both properties serve as necessary perspectives for understanding the evolution of cities and the complexity of urban systems. However, the evolution trends and mechanisms behind the above relationships, particularly concerning geographic processes, remain to be explored in depth. In this study, the dynamic fluctuations within individual cities and the macro-stability of the evolution of urban systems over the past two decades are systematically demonstrated. Subsequently, associations between urban systems and individual cities are established on the basis of micro- and macro-dynamic mechanisms. The trajectory of individual cities can be divided into scaled–driven growth (SG) and urban excess growth (EG). The former is the result of scaling effects within the system, while the latter is affected by global external effects. Taking as examples urban built-up area and social productions, the evolution pathways that vary from different attributes are analyzed. The results indicate that urban built-up area is more affected by scaling effects whereas social productions is driven more by global external effects. Moreover, we examine the driving forces and mechanism of EG from the aspects of economic development level, technological and economic progress, industrial structure and regional policy through an empirical analysis. This study provides a nuanced understanding of the trends and pathways of urban land–population system from the perspective of complex urban systems and holism to deepen the understanding for general properties of cities and co-evolution for urban population size and land expansion.

Sustainable Energy Development and Sustainable Economic Development in EU Countries

Sustainable development is the subject of many economic analyses, but so far no attempt has been made to identify the main mechanism of interdependence between sustainable energy development and sustainable economic development in the second decade of the 21st century. The particular role of energy in achieving the Sustainable Development Goals is due to the fact that the production, supply and use of energy underpin economic growth. The article fills this research gap and spawns both a better understanding of the essence of sustainable development as well as practical conclusions. The aim is to assess sustainable energy development and sustainable economic development in EU member states and to determine the correlation between the two in the EU. Substantive and formal methods were used to select diagnostic variables, including: the parametric method, the standardized sums method, and correlation analysis. The analysis period covers the years 2014–2021. The conducted research demonstrated a significant variation in the level of sustainable energy development and sustainable economic development among EU countries.

CORRELATION ANALYSIS OF THE INTERDEPENDENCE OF ECONOMY'S INNOVATION AND CREATIVITY INDICES

Creativity and the generation of innovative solutions are means of solving the problems of slow economic development and resistance to instability that have been observed in recent years. The key role of creativity of individuals and groups of workers as a defining feature of modern economic life is increasingly recognised. There is a consensus that people, as a source of creativity, are now a critical resource of the new era. In the new model of economic development, creativity, knowledge and free access to information are seen as powerful drivers of development and catalysts of globalisation. The subject of the research is to study the relationship between innovation and creativity in the economic sphere. In particular, the article examines how the creativity of various economic subjects affects the level of innovative indicators, which synthetically reflect the possibilities of achieving the goals of innovative development. The research methodology includes the use of global reports on innovation and creativity indices, as well as scientific sources on this topic. The study uses the methods of critical analysis of scientific papers and international rankings, comparison and correlation of interdependent indicators. The purpose of the research is to assess the relationship between creativity and the level of innovative indicators, which synthetically show the possibilities of achieving the goals of innovative development. Creativity of business entities and mechanisms for generating innovative solutions are determining factors of success of modern post-industrial societies. In most developed countries, long-term economic growth is supported by innovation and creativity of various economic entities. To create the research algorithm, the authors defined the chain of concepts "sustainable development – innovation – creativity". To assess and analyse creativity, the study uses methodological tools that can be applied in global and local contexts. The most well-known indices are the Global Innovation Index (GII), the Global Creativity Index (GCI), the City Creativity Index (CCI), and the Hong Kong Creativity Index (HKCI). The general correlation coefficients between the global innovation index and the creativity indices of some countries have been calculated. According to the results of the calculations, the correlation coefficients of creativity and innovation are very positive. They are closely related and belong to the group of significantly correlated indicators. This means that there is a very high correlation between innovation and creativity in the economies studied. Conclusions. The positive correlation between innovation and creativity indices confirms, in general and in specific terms, a close relationship between innovation and creativity in the economies of different countries. This may indicate that countries or regions with a higher level of economic development have higher rates of creativity and vice versa. The research demonstrates the importance of innovation for the development of creativity in the economy. Understanding this interaction can serve as a basis for designing strategies and policies aimed at promoting innovative development and the growth of creative potential. The economies of Poland, Bulgaria and Ukraine, which were studied in detail, are not innovative enough. The countries studied represent different levels of economic development and are in the phase of post-industrial development, which requires effective innovation policies and measures to support creativity. In order to increase the level of innovation and creativity, it is necessary to involve national governments and organisations (especially the European Union) that can contribute to this. The conclusions point to the need to develop comprehensive approaches to support innovation and creativity in the economies of the countries studied. This may include not only effective strategies to stimulate research and development, but also policies aimed at the cultural environment, education and other areas.

Pathways to enhance the efficiency of forestry ecological conservation and restoration: empirical evidence from Heilongjiang Province, China

This paper proposes a theoretical framework for assessing ecological protection and restoration from the perspective of ecological efficiency. We applied the super-efficiency Slack-based measure model to examine the social and economic impacts of ecological resource consumption transformation in Heilongjiang Province, China. Additionally, a convergence analysis was used to evaluate and test the impact of the standard deviation ellipse method on regional sustainability. The results indicated that the land use structure was unstable; the conversion rate of resource consumption was low; and the average Ecological efficiency was only 0.343 in terms of the land use structure. Funds for forest ecological restoration have a significant impact on the effectiveness of ecological resource transformation. Implementing the Chinese ecological restoration project improves the ecological efficiency level of the communities. The center of gravity of ecological efficiency moved greatly in the years when forestry investment increased. Technological transfer and diffusion, experience imitation in environmental regulation, and eventually convergent steady-state levels of the ecological efficiency of different regions are necessary to improve the economic and social development level of regions with low environmental quality efforts should be made to reduce resource consumption intensity, increase fund utilization efficiency, and form a comprehensive and systematic system of ecological environment governance through reasonable enhancement of regional environmental regulations, increased investment in technological advancement, and funds for ecological protection and restoration.

Analysis of Factors Affecting Voluntourism Network Attention in China: An empirical Test Based on Big Data Analysis

Based on the Baidu index platform, this study takes panel data of 31 provinces, autonomous regions and municipality directly under the central government in China from 2019 to 2023 as a research sample, and and uses big data to empirically analyze the influencing factors of the Voluntourism Network Attention in China. This study chose the Voluntourism Network Attention as the explanatory variable, the seven indicators including the consumption level of the residents, the population above the college and the total tourism revenue of the region as explained variables. Using the STATA15.0 software, the big data model is determined by a descriptive test, a unit root test, a co-integration test, a variance expansion factor (VIF) test, etc. The regression equation of this study was constructed by the generalized least squares method. The empirical study is conducted to determine the influence mode and degree of each factor on the public interest tourism network attention and analyzes the internal causes. The results show that the educational level of the region, the level of economic development and the level of tourism development have a significant positive impact on the Voluntourism Network Attention, and the regression coefficient of the education level and economic development level is the largest. Both of them are the main factors of network the Voluntourism Network Attention. In view of the empirical results, this paper puts forward the following suggestions: First, it is necessary to create more voluntourism routes suitable for college students. Second, it is essential to increase the marketing and promotion of voluntourism activities in economic and tourism developed areas.Last, there is a need to innovate the connotation and form of the voluntourism.

Research on Provincial Distribution of Total Carbon Emissions in the Power Generation Industry under Carbon Neutrality Constraints

The power generation industry in China is at the forefront of implementing carbon trading market policies, playing a crucial role in carbon emission reduction. Carbon allocation in each province is pivotal for future economic development and achieving a gradual and orderly carbon peak. By analyzing total carbon emissions from 2012 to 2021 and examining emission responsibilities from a producer perspective, this study extends the STIRPAT model to evaluate factors influencing carbon emissions in the national and provincial power generation sectors. Key findings highlight the urgent need for industrial structure changes in provinces like Xinjiang, Tibet, Guangdong, Shandong, and Jiangsu, which bear significant emission reduction responsibilities. The spatial and temporal distribution of carbon emissions is shifting from the southeast coast to central and western regions. Factors such as energy consumption, electric power intensity, urbanization rate, power structure, economic development level, and industrial composition significantly impact carbon emissions. To achieve carbon peak goals, a multifaceted approach is essential for reducing emissions in China's power generation sector, emphasizing the need for strategic interventions across various perspectives.

How do Financial Development and Stability Shape Human Development?

Abstract The crucial role of financial systems in sustainable development has become the center of global and national interest and development strategies, and more developed and stable financial systems are the cornerstone for development finance and achieving the sustainable development goals. This research aims to examine the impact of financial development and stability on human development firstly in a sample of 185 countries worldwide, and secondly in a sample of 21 MENA countries, over the period 1990–2019. This study adopts the Panel Data Econometrics (Fixed Effects and Random Effects Methods) and proxy for human development by exploiting the UNDP’s Human Development Index and its three subindices (Education, Income, and Life expectancy), while it adopts broad money, credit to the domestic private sector, and banking sector deposits (all as a percentage of GDP) to proxy for financial development. Moreover, it represents financial stability by the banking sector Z-score and a dummy variable representing crises. The empirical results reveal the prevailing role of development and stability in the financial systems on human development and its three subcomponents, regardless of the country’s economic development level.

Predictors of Life Satisfaction: A Nationwide Investigation in Iran

Iran is a developing country with low levels of economic development and globalization and is ruled by a theocratic government. To address the lack of national research on well-being in Iran, this retrospective observational study aims to examine life satisfaction and its main determinants among Iranian adults. Using World Gallup Poll data collected between 2006 and 2017, we examined life satisfaction as a cognitive aspect of subjective well-being in relation to various factors. Our results show that income is the strongest predictor of life satisfaction, followed by standard of living, gender, social support, age, negative affect, and education. In developing countries such as Iran, which face significant economic, political, and social challenges, individuals prioritize the satisfaction of basic needs by emphasizing factors such as the socioeconomic status. In contrast, developed countries with established welfare systems may emphasize other values such as social connections and healthy lifestyle behaviors as key factors in life satisfaction. This study contributes to a deeper understanding of the determinants of life satisfaction in Iran and provides insights for future research and policy making.

Adverse shocks, vulnerability, and coping by rural households in Vietnam

AbstractMotivationVulnerability to poverty derives from adverse shocks and adaptive capacity. To alleviate poverty, policy‐makers must understand sources of vulnerability, household coping strategies, and the effectiveness of current insurance. Vietnam is an important case due to the many hazards that rural households face and the inadequacy of social safety nets.PurposeThis article investigates the role of adverse shocks on vulnerability, coping strategies, and recovery of households in rural Vietnam.Approach and methodsUsing a unique panel data set from Vietnam Access to Resources Household Surveys (VARHSs) during 2008–2016, I first estimate and deconstruct sources of vulnerability. To examine household behaviour when coping with adverse shocks, I use a multivariate probit model; to investigate whether coping strategies help households recover from shocks, I use a multinominal probit model. Finally, I evaluate the effectiveness of existing risk‐management mechanisms.FindingsThe average rural household in Vietnam experiences a 72% decrease in utility due to shocks. Idiosyncratic shocks contribute 32% of the loss. Rural households are highly dependent on informal coping, such as reducing food consumption, withdrawing savings, taking children out of school or selling capital assets. Household savings allow the wealthiest households to recover; but for low‐income households, consumption has to be cut, which depletes human capital development and prevents recovery.Policy implicationsRural Vietnamese need more public support to cope with and recover from shocks. Because idiosyncratic shocks hit households hard, public support should focus on alleviating their impacts. Expanding health insurance to all rural households should be a priority.Households suffer less in areas with higher levels of economic development, so economic growth is a defence against shocks. More roads and links to towns and more irrigation would help.

Evolutionary pattern and influencing factors of the aquaculture development in the Guangdong-Hong Kong-Macao Greater Bay area during 1986–2020

The rapid expansion of aquaculture ponds at the end of the last century raised concerns about their environmental and ecological impacts in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). This study aims to comprehensively investigate the spatiotemporal evolutionary characteristics and explore the influencing factors of aquaculture development in the GBA. An automated approach was established to extract the aquaculture pond areas on the Google Earth Engine (GEE) platform using Landsat images and showed high accuracy. The aquaculture development in the GBA underwent three phases of rapid expansion (1986–1996), constant transformation (1996–2010), and drastic contraction (2010–2020), and was closely related to the important aquaculture policies in China and Guangdong Province. The local aquaculture ponds showed three evolutionary patterns of continuous shrinkage, earlier shrinkage, and later shrinkage, which were mainly influenced by the economic development level and urbanization in each city. Rapid urbanization created great demands for aquaculture products and intense land use competition, which drove the conversion of aquaculture ponds into impervious land and migration from the central GBA towards the surrounding coast and upstream areas. Government policies promoted the initial rapid increase and regulated the aquaculture ponds to develop towards a more environment-friendly and intensive mode, which led to a steady increase of aquaculture products despite the drastic decrease in aquaculture pond areas in the past decade. These evolutionary features are of significance for policymakers and farmers to maintain the sustainable development of aquaculture in the GBA and Guangdong Province.

Spatial distribution and influencing factors of rural tourism: A case study of Henan Province

Rural tourism is a powerful way to revitalize the countryside, and its spatial pattern is crucial for sustainable development. This paper analyzes the spatial distribution of rural tourism characteristic villages in Henan Province by taking 723 villages as the research object and using the nearest neighbor index, kernel density analysis, and spatial autocorrelation. It investigates the influencing factors utilizing the optimal parameters-based geographical detector (OPGD) model. The results show that, firstly, the overall spatial distribution of the rural tourism characteristic villages in Henan Province is characterized by aggregation and unbalanced distribution, and the overall spatial distribution density demonstrates the aggregation characteristics of “four cores and one belt”. Secondly, the rural tourism characteristic villages can be divided into four primary categories, agricultural industry, rural culture, and featured villages and towns. The spatial distributions of the four main categories are all clustered. Thirdly, the primary factors affecting the differences in the spatial distribution of the rural tourism characteristic villages are the topographic features, economic development level, tourism market potential, traffic capacity, and relevant policies, among which the critical factor is the number of A-class scenic spots in the tourism market potential. To promote the optimisation of the spatial pattern of rural tourism, it is necessary to strengthen resource integration. Furthermore, it is important to conduct in-depth exploration of more factors in order to provide comprehensive guidance for the sustainable development of rural tourism.